Literature DB >> 16266409

Interaction between two quantitative trait loci affects fetal haemoglobin expression.

C Garner1, S Menzel, C Martin, N Silver, S Best, T D Spector, S L Thein.   

Abstract

The biological mechanisms controlling complex quantitative traits are likely to be affected by interactions between genetic factors, sometimes referred to as epistasis. The identification of interacting loci through genetic analyse faces many challenges, and few examples of replicated findings of interaction exist for humans and model system organisms. The replication of an interaction, or the non-independence, of two quantitative trait loci (QTL) affecting the developmental switch from the expression of fetal to adult haemoglobin is reported here. Fetal haemoglobin expression in adults is a highly heritable, yet complex, phenotype. Using a sample of 874 dizygotic twin pairs of European descent, we found linkage to a QTL on chromosome 8 to be conditional on the twin pairs' genotypes at a polymorphism in the beta-globin complex; an interaction originally identified in a large Asian Indian kindred. The beta-globin polymorphism has been previously shown to be associated with fetal haemoglobin levels in adults. This study reports the first known replication of a genetic interaction between QTLs influencing a complex human trait.

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Year:  2005        PMID: 16266409     DOI: 10.1111/j.1529-8817.2005.00188.x

Source DB:  PubMed          Journal:  Ann Hum Genet        ISSN: 0003-4800            Impact factor:   1.670


  6 in total

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Journal:  Blood       Date:  2011-04-13       Impact factor: 22.113

Review 2.  Minireview: Multiomic candidate biomarkers for clinical manifestations of sickle cell severity: Early steps to precision medicine.

Authors:  Steven R Goodman; Betty S Pace; Kirk C Hansen; Angelo D'alessandro; Yang Xia; Ovidiu Daescu; Stephen J Glatt
Journal:  Exp Biol Med (Maywood)       Date:  2016-03-27

3.  Genome-wide association study identifies genetic variants influencing F-cell levels in sickle-cell patients.

Authors:  Pallav Bhatnagar; Shirley Purvis; Emily Barron-Casella; Michael R DeBaun; James F Casella; Dan E Arking; Jeffrey R Keefer
Journal:  J Hum Genet       Date:  2011-02-17       Impact factor: 3.172

4.  Hemoglobin binding to A beta and HBG2 SNP association suggest a role in Alzheimer's disease.

Authors:  Rodney T Perry; Debra A Gearhart; Howard W Wiener; Lindy E Harrell; James C Barton; Abdullah Kutlar; Ferdane Kutlar; Ozan Ozcan; Rodney C P Go; William D Hill
Journal:  Neurobiol Aging       Date:  2006-12-08       Impact factor: 4.673

5.  BCL11A is a major HbF quantitative trait locus in three different populations with beta-hemoglobinopathies.

Authors:  Amanda E Sedgewick; Nadia Timofeev; Paola Sebastiani; Jason C C So; Edmond S K Ma; Li Chong Chan; Goonnapa Fucharoen; Supan Fucharoen; Cynara G Barbosa; Badri N Vardarajan; Lindsay A Farrer; Clinton T Baldwin; Martin H Steinberg; David H K Chui
Journal:  Blood Cells Mol Dis       Date:  2008-08-08       Impact factor: 3.039

Review 6.  Hb E/beta-thalassaemia: a common & clinically diverse disorder.

Authors:  Nancy F Olivieri; Zahra Pakbaz; Elliott Vichinsky
Journal:  Indian J Med Res       Date:  2011-10       Impact factor: 2.375

  6 in total

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